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TU Berlin

Inhalt des Dokuments

Publications

2020


Grizzly: Efficient Stream Processing Through Adaptive Query Compilation

Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl

SIGMOD 2020

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Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

SIGMOD 2020

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ML-based Cross-Platform Query Optimization

Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Bertty Contreras-Rojas, Rodrigo Pardo-Meza, Anis Troudi, Sanjay Chawla

ICDE 2020

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Optimizing Machine Learning Workloads in Collaborative Environments

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan,Tilmann Rabl, Volker Markl

SIGMOD 2020

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A Survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things

Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl

DEBS 2020

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Governor: Operator Placement for a Unified Fog-Cloud Environment

Ankit Chaudhary, Steffen Zeuch, Volker Markl

to be published in Proceedings of the 23rd International Conference on Extending Database Technology (EDBT) 2020

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Towards Unsupervised Data Quality Validation on Dynamic Data

Sergey Redyuk, Volker Markl, Sebastian Schelter

presented at International Workshop on Explainability for Trustworthy ML Pipelines (ETMLP) 2020

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Disco: Efficient Distributed Window Aggregation

Lawrence Benson, Philipp Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl

to be published in Proceedings of the 23rd International Conference on Extending Database Technology (EDBT) 2020

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The NebulaStream Platform: Data and Application Management for the Internet of Things

Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl

Conference on Innovative Data Systems Research (CIDR 2020) 2020

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